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Behaviorist theories of learning |
| Introduction | |
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Behaviorist theories of learning seek scientific, demonstrable explanations for simple behaviors. For these reasons, and since humans are considered to resemble machines, behaviorist explanations tend to be somewhat mechanical in nature. | |
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"They make use of one or both of two principal classes of explanations for learning: those based on contiguity (simultaneity of stimulus and response events) and those based on the effects of behavior (reinforcement and punishment)" (Lefrancois 1988:29). | |
| Context | |||
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Understanding some principles from behaviorist theory can help you in your work. Here are some principles to apply: | |||
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| Discussion | |
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For many years, these concepts from behavioral theory formed the basis of most of the learning theory applied in child rearing and in classrooms. Parents and teachers still find that, in many instances, individuals do learn when provided with the appropriate blend of stimuli, rewards, negative reinforcement, and punishments. Especially with small children and simpler tasks, behavioral principles are often effective. | |
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Eventually, however, educators began to feel that although stimulus-response does explain many human behaviors and has a legitimate place in instruction, behaviorism alone was not sufficient to explain all the phenomena observed in learning situations. The cognitive approach began to gain attention, while the behaviorist theorists went on to explore the possibilities of programmed learning for the computer age. Today, all computer-assisted instruction is solidly planted on the foundation laid by behaviorist researchers. | |
| In this module group | |
| See also | |
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Page content last modified: 2 July 1998 |
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© 1999 SIL International |